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C++ Parallel Programming with Threading Building Blocks...
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AURA By Saif.mathlouthi.aura@gmail.com 25 April 2026
Abstract Contemporary artificial intelligence systems, particularly large language models (LLMs), achieve impressive fluency through statistical learning but remain fundamentally vulnerable to semanti...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Modified Weak Energy Condition for the Energy Momentum Tensor in Quantum Field Theory
The weak energy condition is known to fail in general when applied to expectation values of the the energy momentum tensor in flat space quantum field theory. It is shown how the usual counter argumen...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Granger Causality in Multi-variate Time Series using a Time Ordered Restricted Vector Autoregressive
Granger causality has been used for the investigation of the inter-dependence structure of the underlying systems of multi-variate time series. In particular, the direct causal effects are commonly es...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Signal Computing
Digital Signals in the Software Domain...
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NASA Technical Reports Server (NTRS) 19940012807: Path planning for robotic truss assembly
A new Potential Fields approach to the robotic path planning problem is proposed and implemented. Our approach, which is based on one originally proposed by Munger, computes an incremental joint vecto...
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Bayesian Methods in the Search for MH370
...
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NASA Technical Reports Server (NTRS) 19810009511: Failure detection and isolation analysis of a redu
The objective of this study was to define and develop techniques for failure detection and isolation (FDI) algorithms for a dual fail/operational redundant strapdown inertial navigation system are def...
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Eigenvalue bounds, spectral partitioning, and metrical deformations via flows
We present a new method for upper bounding the second eigenvalue of the Laplacian of graphs. Our approach uses multi-commodity flows to deform the geometry of the graph; we embed the resulting metric ...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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On the submartingale problem for reflected diffusions in domains with piecewise smooth boundaries
Two frameworks that have been used to characterize reflected diffusions include stochastic differential equations with reflection and the so-called submartingale problem. We introduce a general formul...
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Environmental Scan To Determine The Prevalence Of Unaccredited Engineering Programmes
expo science career teacher mentor, lecture dhet...
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Understanding Machine Learning
From Theory to Algorithms...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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AN INTELLIGENT HYBRID MACHINE LEARNING FRAMEWORK FOR PERSONALIZED TRAVEL RECOMMENDATION AND EXPERIEN
Travel planning has increasingly become complex due to the growing number of destinations, diverse user preferences, seasonal constraints, and the abundance of unstructured travel information. Convent...
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CIA Reading Room 00962939: SCIENTIFIC INTELLIGENCE MONTHLY REVIEW
pproved for Release 2020/09/11 C00962939 Although Brazil is not likely to accept, France appeiiii: ;Seriami ahoutoffering a complete space technology transfer al reement that could have significant mi...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Linear Selection Indices in Modern Plant Breeding
...
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Latent Feature Based FM Model For Rating Prediction
Rating Prediction is a basic problem in Recommender System, and one of the most widely used method is Factorization Machines(FM). However, traditional matrix factorization methods fail to utilize the ...
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Enhancing learner performance prediction on online platforms using machine learning algorithms
E-learning has emerged as a prominent educational method, providing accessible and flexible learning opportunities to students worldwide. This study aims to comprehensively understand and categorize l...
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First published in 1987...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Light traps fail to estimate reliable malaria mosquito biting rates on Bioko Island, Equatorial Guin
This article is from Malaria Journal , volume 11 . Abstract Background: The human biting rate (HBR), an important parameter for assessing malaria transmission and evaluating vector control interventio...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Variant Construction from Theoretical Foundation to Applications
...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Specific growth suppression of human cancer cells by targeted delivery of Dictyostelium mitochondria
This article is from Cancer Cell International , volume 14 . Abstract Background: In general, growth and differentiation are mutually exclusive but are cooperatively regulated throughout development. ...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Solving PDEs in Python
The FEniCS Tutorial I...
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DTIC ADA544177: Autoregressive Modeling with State-Space Embedding Vectors for Damage Detection unde
A nonlinear time series approach is presented to detect damage in systems by using a state-space reconstruction to infer the geometrical structure of a deterministic dynamical system from observed tim...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Electroweak fragmentation functions for dark matter annihilation
Electroweak corrections can play a crucial role in dark matter annihilation. The emission of gauge bosons, in particular, leads to a secondary flux consisting of all Standard Model particles, and may ...
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Foundations of Machine Learning
...
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Deep Genomic Signature Classifier for Covid-19 Strains
The rapid growth of biomedical data and infectious disease monitoring has created a strong demand for intelligent systems capable of accurately predicting viral status based on patient and sequencing-...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Biodiversity and Health in the Face of Climate Change
...
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Evolution, Monitoring and Predicting Models of Rockburst
Precursor Information for Rock Failure...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Representation Learning for Natural Language Processing
...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Algorithmic Graph Theory and Sage
...
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Spin dynamics in the presence of competing ferro- and antiferro-magnetic correlations in Yb2Ti2O7
In this work, we show that the zero field excitation spectra in the quantum spin ice candidate pyrochlore compound \ybti\ is a continuum characterized by a very broad and almost flat dynamical respons...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Anisotropy Across Fields and Scales
...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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1. ODRP St New
In MANETs (or Mobile Ad-hoc Networks), mobile devices undergo dynamically varying network topology. AODV, DSR and AOMDV ad- hoc routing protocols use single route reply along reverse path. Rapid chang...
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On Bures distance over standard form vN-algebras
In case of a standard form vN-algebra, the Bures distance is the natural distance between the fibres of implementing vectors at normal positive linear forms. Thereby, it is well-known that to each two...
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